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Aleksei Vakhnin and Evgenii Sopov
Modern real-valued optimization problems are complex and high-dimensional, and they are known as ?large-scale global optimization (LSGO)? problems. Classic evolutionary algorithms (EAs) perform poorly on this class of problems because of the curse of dim...
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Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Lázaro Alvarado-Barrios, Andres Arias-Londoño and Cesar Álvarez-Arroyo
This research addresses the problem of the optimal placement and sizing of (PV) sources in medium voltage distribution grids through the application of the recently developed Newton metaheuristic optimization algorithm (NMA). The studied problem is formu...
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Alexey Vakhnin and Evgenii Sopov
Many modern real-valued optimization tasks use ?black-box? (BB) models for evaluating objective functions and they are high-dimensional and constrained. Using common classifications, we can identify them as constrained large-scale global optimization (cL...
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Jing Zhang, Xiangpeng Zhan, Taoyong Li, Linru Jiang, Jun Yang, Yuanxing Zhang, Xiaohong Diao and Sining Han
The problem of electricity pricing for charging stations is a multi-objective mixed integer nonlinear programming. Existing algorithms have low efficiency in solving this problem. In this paper, a convex optimization algorithm is proposed to get the opti...
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Felix Kaiser,Stefan Kosnac,Ulrich Brüning
Pág. 64 - 74
Despite the fact that the open-source community around the RISC-V instruction set architecture is growing rapidly, there is still no high-speed open-source hardware implementation of the IEEE 754-2008 floating-point standard available. We designed a Fuse...
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